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Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study

Ludwig Franke Föyen, Victoria Sennerstam, Evelina Kontio, Oskar Flygare, Magnus Boman, Elin Lindsäter

JMIR Res Protoc 2025;14:e65790

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Trust and Acceptance Challenges in the Adoption of AI Applications in Health Care: Quantitative Survey Analysis

Janne Kauttonen, Rebekah Rousi, Ari Alamäki

J Med Internet Res 2025;27:e65567

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A Hybrid Deep Learning–Based Feature Selection Approach for Supporting Early Detection of Long-Term Behavioral Outcomes in Survivors of Cancer: Cross-Sectional Study

Tracy Huang, Chun-Kit Ngan, Yin Ting Cheung, Madelyn Marcotte, Benjamin Cabrera

JMIR Bioinform Biotech 2025;6:e65001

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Linking Electronic Health Record Prescribing Data and Pharmacy Dispensing Records to Identify Patient-Level Factors Associated With Psychotropic Medication Receipt: Retrospective Study

Peng Wu, Jillian H Hurst, Alexis French, Michael Chrestensen, Benjamin A Goldstein

JMIR Med Inform 2025;13:e63740

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Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study

Nicholas C Cardamone, Mark Olfson, Timothy Schmutte, Lyle Ungar, Tony Liu, Sara W Cullen, Nathaniel J Williams, Steven C Marcus

JMIR Med Inform 2025;13:e65454

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Noninvasive Oral Hyperspectral Imaging–Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study

Xiaomeng Yang, Zeyan Li, Lei Lei, Xiaoyu Shi, Dingming Zhang, Fei Zhou, Wenjing Li, Tianyou Xu, Xinyu Liu, Songyun Wang, Quan Yuan, Jian Yang, Xinyu Wang, Yanfei Zhong, Lilei Yu

J Med Internet Res 2025;27:e67256

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Predicting Pain Response to a Remote Musculoskeletal Care Program for Low Back Pain Management: Development of a Prediction Tool

Anabela C Areias, Robert G Moulder, Maria Molinos, Dora Janela, Virgílio Bento, Carolina Moreira, Vijay Yanamadala, Steven P Cohen, Fernando Dias Correia, Fabíola Costa

JMIR Med Inform 2024;12:e64806

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Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Meicheng Yang, Jinqiang Zhuang, Wenhan Hu, Jianqing Li, Yu Wang, Zhongheng Zhang, Chengyu Liu, Hui Chen

J Med Internet Res 2024;26:e54621

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Exploring Machine Learning Applications in Pediatric Asthma Management: Scoping Review

Tanvi Ojha, Atushi Patel, Krishihan Sivapragasam, Radha Sharma, Tina Vosoughi, Becky Skidmore, Andrew D Pinto, Banafshe Hosseini

JMIR AI 2024;3:e57983

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Predictive Model for Extended-Spectrum β-Lactamase–Producing Bacterial Infections Using Natural Language Processing Technique and Open Data in Intensive Care Unit Environment: Retrospective Observational Study

Genta Ito, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki

JMIR Form Res 2024;8:e54044

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